Geoinformational prognostic model of mudflows hazard and mudflows risk for the territory of Ukrainian Carpathians

T. Chepurna, E. Kuzmenko, I. Chepurnyj
{"title":"Geoinformational prognostic model of mudflows hazard and mudflows risk for the territory of Ukrainian Carpathians","authors":"T. Chepurna, E. Kuzmenko, I. Chepurnyj","doi":"10.1515/ctg-2017-0005","DOIUrl":null,"url":null,"abstract":"Abstract The article is devoted to the geological issue of the space-time regional prognostication of mudflow hazard. The methodology of space-time prediction of mudflows hazard by creating GIS predictive model has been developed. Using GIS technologies the relevant and representative complex of significant influence of spatial and temporal factors, adjusted to use in the regional prediction of mudflows hazard, were selected. Geological, geomorphological, technological, climatic, and landscape factors have been selected as spatial mudflow factors. Spatial analysis is based on detection of a regular connection of spatial factor characteristics with spatial distribution of the mudflow sites. The function of a standard complex spatial index (SCSI) of the probability of the mudflow sites distribution has been calculated. The temporal, long-term prediction of the mudflows activity was based on the hypothesis of the regular reiteration of natural processes. Heliophysical, seismic, meteorological, and hydrogeological factors have been selected as time mudflow factors. The function of a complex index of long standing mudflow activity (CIMA) has been calculated. The prognostic geoinformational model of mudflow hazard up to 2020 year, a year of the next peak of the mudflows activity, has been created. Mudflow risks have been counted and carogram of mudflow risk assessment within the limits of administrative-territorial units has been built for 2020 year.","PeriodicalId":398945,"journal":{"name":"Contemporary Trends in Geoscience","volume":"22 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Contemporary Trends in Geoscience","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1515/ctg-2017-0005","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1

Abstract

Abstract The article is devoted to the geological issue of the space-time regional prognostication of mudflow hazard. The methodology of space-time prediction of mudflows hazard by creating GIS predictive model has been developed. Using GIS technologies the relevant and representative complex of significant influence of spatial and temporal factors, adjusted to use in the regional prediction of mudflows hazard, were selected. Geological, geomorphological, technological, climatic, and landscape factors have been selected as spatial mudflow factors. Spatial analysis is based on detection of a regular connection of spatial factor characteristics with spatial distribution of the mudflow sites. The function of a standard complex spatial index (SCSI) of the probability of the mudflow sites distribution has been calculated. The temporal, long-term prediction of the mudflows activity was based on the hypothesis of the regular reiteration of natural processes. Heliophysical, seismic, meteorological, and hydrogeological factors have been selected as time mudflow factors. The function of a complex index of long standing mudflow activity (CIMA) has been calculated. The prognostic geoinformational model of mudflow hazard up to 2020 year, a year of the next peak of the mudflows activity, has been created. Mudflow risks have been counted and carogram of mudflow risk assessment within the limits of administrative-territorial units has been built for 2020 year.
乌克兰喀尔巴阡山脉地区泥石流灾害和泥石流风险的地理信息预测模型
摘要本文研究了泥石流灾害时空区域预测的地质问题。提出了建立GIS预测模型进行泥石流灾害时空预测的方法。利用GIS技术,选取时空因子影响显著的相关代表性复合体,进行调整,用于区域泥石流灾害预测。选择了地质、地貌、技术、气候和景观因子作为空间泥石流因子。空间分析的基础是发现空间因子特征与泥石流场地空间分布之间的规律性联系。计算了泥石流场地分布概率的标准复空间指数(SCSI)函数。泥流活动的时间和长期预测是基于自然过程规律重复的假设。选取了太阳物理、地震、气象和水文地质因子作为时间泥石流因子。计算了长期泥石流活动性复杂指数的函数。建立了到下一个泥石流活动高峰年份2020年的泥石流灾害预测地理信息模型。进行了泥石流风险统计,并编制了2020年行政区域范围内泥石流风险评价曲线图。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信